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New York, New York, United States
Hybrid
As a Lead DevOps Engineer reporting to the AVP – Systems and Network Administration, you'll play a critical role in building and operating intelligent automation platforms, AI agents, and orchestration frameworks that support mission-critical systems, engineering workflows, and operational tooling across Nasdaq.
You'll thrive in this position if you're highly technical, curious, collaborative, and excited about evolving beyond traditional infrastructure automation into agentic systems, autonomous workflows, and AI-assisted operations. You'll join a fast-paced, project-oriented team focused on reliability at scale while helping shape the future of AI-driven operations.
Key Responsibilities
Design, build, operate, and continuously improve AI agents that automate operational, engineering, and support workflows.
Develop agent orchestration frameworks using large language models (LLMs), tool integrations, structured workflows, and workflow-based automation patterns.
Build and maintain automation pipelines that combine AI reasoning and decision-making with deterministic systems, controls, and operational processes.
Implement Python-based services supporting AI agent execution, control, and integration with internal platforms including APIs, ITSM systems, CI/CD pipelines, and observability tools.
Design and evolve CI/CD pipelines for AI-enabled services and automation platforms.
Serve as an escalation point for complex AI and automation issues while identifying opportunities to improve reliability and reduce manual effort through agentic automation.
Document architectures and workflows, research emerging AI technologies, and develop proofs of concept to evaluate new capabilities.
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Expert-level Python development experience with strong knowledge of automation and orchestration frameworks.
Experience designing and supporting CI/CD pipelines, working with Git, and integrating systems through REST APIs.
Proficiency in YAML and JSON.
Experience building AI agents, autonomous systems, or AI-driven automation solutions, with familiarity with LLMs, prompt engineering, and tool-calling frameworks.
Experience combining AI decision logic with deterministic automation and designing event-driven, workflow-based systems.
Strong analytical and systems-thinking skills.
Excellent written and verbal communication skills, with the ability to work independently in ambiguous environments and collaborate effectively across global teams.
Preferred Qualifications
Experience with Terraform, infrastructure-as-code practices, Ansible, or other configuration management tools.
Experience with JavaScript, databases, and modern application development technologies.
Experience working within financial services, fintech, or other regulated industries.
This position will be located in New York City or Philadelphia and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
This posting is for an existing vacancy within Nasdaq .
Come as You Are
Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.
We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.
We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.
What We Offer
We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.
The base pay range for this role is $139,000 - $243,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.Nasdaq’s programs and rewards are intended to allow our employees to:
For more information, visit Nasdaq Benefits & Rewards Career page.